Color Image Segmentation Method

This method provides an approach for color image segmentation comprising three key steps: (a) calculating predetermined values representing color dissimilarity of peripheral pixels using input image pixel values, typically implemented through neighborhood comparison algorithms; (b) transforming the calculated values into predetermined scale values to obtain a converted image, often using normalization or scaling functions; (c) segmenting the transformed image using appropriate segmentation algorithms. This approach enables robust automatic segmentation with high processing speed, even for images containing substantial noise.